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programming (R applications or comparable programming languages) Proven ability to publish articles in scientific journals Determination and commitment to scientific excellence Willingness and ability to
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. The successful candidate will have Proven knowledge of soil science, fire ecology, and reed ecology Proven knowledge of data analysis and programming (R applications or comparable programming languages
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in data analysis and programming (R-applications or comparable programming languages) using large datasets Determination and commitment to scientific excellence Willingness and ability to drive to
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of the fields data analysis, quantitative economics, econometrics and/or statistics Proficiency and ability to teach in English or German (Preferably strong) experience in scientific programming (e.g
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experience in cognitive neuroscience, including experience working with empirical behavioural and/or neuroscientific data. Strong programming skills relevant to scientific data analysis, demonstrated through
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electron microscopy, atomic-force microscopy, and related methods, demonstrated through academic thesis or publications. Experience in Python programming is required, teaching experience in Python
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simulation of manufacturing processes in polymer processing Inline, online, and in-situ process sensing; control and automation engineering Programming and data analysis Preparation and publication of research
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operation and programming (ABB, KUKA, etc.) as well as in the use of CAD or CAM systems for path planning in wire arc additive manufacturing (WAM) is an advantage Programming skills (C++, Python, PLC, or
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programming (e.g., Python, R or MATLAB) This distinguishes you additionally: First experiences in academic teaching and research First experiences in quantitative economics or similar fields Strong interest in
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experience working with empirical behavioural and/or neuroscientific data. Strong programming skills relevant to scientific data analysis, demonstrated through substantive experience with at least one